DocumentCode
3377715
Title
Data Gathering Algorithm Based Load Balance for Wireless Sensor Networks
Author
Xin, Guan ; Guan, L.
Author_Institution
Sch. of Inf. Sci. & Technol., Heilongjiang Univ., Harbin
fYear
2008
fDate
3-7 Aug. 2008
Firstpage
1
Lastpage
5
Abstract
Wireless sensor networks are characterized by centralized data gathering, multi-hop communication and many to one traffic pattern. These three characteristics can lead to severe packet collision, network congestion and packet loss, and even result in hot-spots of energy consumption thus causing premature death of sensor nodes and entire network. The proposed load balance data gathering algorithm classifies sensor nodes into different levels according to their distance to base station. Multiple paths are established between sensor node and sink depending on the energy metric and communication cost. This algorithm uses sub-optimal paths occasionally besides the minimum energy path. In order to save energy, data aggregation scheme is adopted as well. Analysis and simulation results show that the proposed algorithm provides more uniform energy consumption among nodes and can prolong network lifetime.
Keywords
data communication; energy consumption; resource allocation; telecommunication congestion control; telecommunication traffic; wireless sensor networks; data aggregation scheme; data gathering algorithm; energy consumption; load balance; multihop communication; network congestion; packet collision; packet loss; traffic pattern; wireless sensor networks; Algorithm design and analysis; Analytical models; Base stations; Costs; Energy consumption; Road accidents; Sensor phenomena and characterization; Spread spectrum communication; Telecommunication traffic; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Communications and Networks, 2008. ICCCN '08. Proceedings of 17th International Conference on
Conference_Location
St. Thomas, US Virgin Islands
ISSN
1095-2055
Print_ISBN
978-1-4244-2389-7
Electronic_ISBN
1095-2055
Type
conf
DOI
10.1109/ICCCN.2008.ECP.143
Filename
4674303
Link To Document